Community Chair

Top KPIs for Human Resource Management

"Human resources are like natural resources, they are often buried deep, you have to go looking for them, they are not just lying on the surface, you have to create circumstances where they show themselves"

Ken Robinson

Your employees are the most valuable resource for your institution. Talented and experienced employees are hard to come by and even harder to keep. It is very important to ensure that they have sufficient opportunities to grow and develop in their jobs and are continuously evolving as individuals. It is also extremely crucial to keep them engaged and connected to the organization. Hence, the human resource department ensures that the institution is composed of motivated, satisfied employees who are fulfilled in their jobs.

Many factors influence why an employee chooses to stay - some of the major factors include working hours, salary, health benefits, and company culture. A business is successful only if the employees are driving the industry in an efficient manner. Some challenges that employers face in human resources are as follows-

  • 83% of employers feel that attracting and retaining talent is a growing challenge ( Allegis Group)
  • In Kronos, 46% of employers say that employee burnout is a major workforce turnover.
  • According to the millennial branding survey, the top reason why millennials leave their jobs is that they received a better job offer from another company ( 30%), their career objectives are not aligned with that of the company ( 27%), and they feel there is lack of career opportunities in front of them ( 13%).

128312456?profile=RESIZE_710x

Human resource managers or employers, in general, need to have measurable indicators which will help them to determine and track the progress in specific objectives. Here are the top KPIs for human resource management, briefly explained.

1. % Hire from Referral Programme

An indicator is used to track the number of employees hired in the institution through existing employees referring to qualified friends and relatives. The existing employees know the best about the talent needed for the job, and word of mouth helps to spread the message of recruitment directly to the right people, without spending extra resources like time and money on recruitments. This technique is beneficial for the management and the existing employees who feel more engaged and accountable when they are involved in processes like these. The more the percentage of hires from referral programmes, the more efficiently the resources can be spent on other departments, and it is also an indicator of a good culture.

2. Leadership Index

It is a method of measuring leadership within an organization. It is an evaluation of leaders in an institution through the skills, attitudes, and behaviors needed within an organization. The employees are required to take a survey anonymously and answer questions with respect to the leader. Based on the result, the leader can take feedback and develop his skills. The attitudes, skills, behaviors are not the same for every institution; hence the institution first needs to consider which characteristics need to be assessed under the leadership index.

3. Training investment per Employee

The amount of cost invested in the training and development of employees should always be closely monitored. Suppose the amount being spent is too less. In that case, it might indicate that there is difficulty in developing talent internally within the institution. Hence, the employees often fulfill these needs externally, which is often considered a threat. The training investment is also the amount spent on the onboarding of the recruits. A well-planned training can boost retention. It increases employee value and operational efficiency since they become more efficient in doing their job. It should be ensured frequently that the training investment is not more than the revenue generated from operations.

4. Employee Satisfaction Index

The indicator measures how satisfied the employees are with their current jobs. It is used to analyze as much information as possible that can be gathered about employees through the survey. The surveys usually revolve around the following three questions:

  1. The score of satisfaction with the current workplace.
  2. Score at which the expectation meets the reality of the workplace.
  3. Score at which the current workplace is close to the ideal one.

These scores are usually given, ranging from 1-10, where 1 is the lowest value and 10 indicates the highest. Institutions usually prefer more extended surveys so that they can have more information. The survey can be done every quarter, and the results of an employee can be compared to observe if there has been any improvement.

5. Time/Money Saved from Using HR/IT Technologies

The amount of time and money being saved from using IT technologies indicates whether or not an institution is investing in the right technology. Technology offers a transformational platform for doing operations efficiently and quickly, but it also involves a lot of extra costs going into maintenance—the more time and money saved from using technology, the better the institution's efficiency and investment. Technology should be more focused on improving operations and reducing employees' workload, and offering them a platform where resources can be managed easily. If IT does not fulfill this description, the investment needs to be looked into, and better solutions must be implemented.

6. Net Promoter Score (NPS)

Employee net promoter score is a comprehensive way to measure employees' loyalty. It allows employers to know whether the employees are willing to become brand ambassadors of their institution. The survey divides the employees into three categories- detractors, passives, and promoters. The score can be given between 1-10, where 1-6 indicate s a detractor(will not promote), 7-8 indicates a passive(neutral), 9-10 indicates a promoter. The survey should be taken as frequently as possible to make the most out of the process.

7. Turnover Rate

          The employee turnover rate indicates the number of employees leaving an institution in a particular duration, including dismissals and retirements. The institution's turnover rate can be compared with the average turnover rate within the industry, and an analysis can be made. Suppose the rate is higher than the average. In that case, it will indicate that the management is not as efficient in their human resource management, and some good case practices can be taken from institutions having a lower turnover rate. If the turnover rate is low, the analysis can be more specific and answer questions like who are the people leaving and if they can be retained.

ANNUAL EMPLOYEE TURNOVER RATE = NUMBER OF EMPLOYEES WHO LEFT x 100
 
AVERAGE NUMBER OF EMPLOYEES

8. Diversity Rate

It is an index used to ensure a diversity of employees in the organization and establishes the diversity profile. The diversity objectives should be specific, achievable, and realistic. It should be possible to measure them within a specific duration of time. The diversity rate can include gender diversity, ethnic diversity, disability diversity, etc. The organization should establish standards for the same. The gender ratio, for example, measures the male to female ratio of employees, and an institution that is more focused on providing equal work opportunities will try to keep the ratio in good standing. Having individual experiences from diverse backgrounds uses diverse communication styles, and an organization that can understand the different communication styles within can build better connections between employees. Other measures can include- education, past working environments, professional experience, motivation, and empathetic ability.

9. Average Cost to Recruit

Most financial institutions find themselves continuously trying to reduce the average cost to recruit as much as possible. A low cost to recruit indicates the efficiency of recruiting processes helps make a cost-effective budget and identifies areas that can be improved. To know if your cost to recruit is high, low, or average, you can compare it to the benchmarks present within your industry. A high average cost will indicate that some new supplements need to come in place, and the current practices need to be modified.

AVERAGE COST TO RECRUIT = (INTERNAL RECRUITMENT COST+ EXTERNAL RECRUITMENT COSTS)
 
TOTAL NUMBER OF HIRES

10. Employee Qualification Index           

  Qualification standards are the minimum standards and qualifications required to perform a job successfully. These qualifications can be in education, health, skills, etc. They help employers to know what can be expected from potential employees. The index identifies the best-qualified candidates for a particular position or as substitutes for existing employees. The candidates are given a questionnaire, and they are supposed to answer yes or no. A final rating is assigned according to the set benchmark for each criterion and according to the ability of the candidate to perform the same. This process saves a lot of time and energy during recruitment processes.

CONCLUSION

As quoted once earlier in this article, human resources are the most important resources for any organization, and they need to be managed wisely. The human resource management key indicators help analyze the organization's health and divert energy into processes that are needed for the successful operations of the business. Therefore, it is important to choose the indicators according to the institution's capacity to carry on efficiently.

E-mail me when people leave their comments –

You need to be a member of CULytics Community to add comments!

Join CULytics Community

 

advantedge
altair
ibi
arka
trellance
coopfs
dfa
wherescape
alkami
prismacampaigns
marquis
aiq
totex
cnet
datava
aun
cinch
know

Related Post

 

Ad Unit Settings






Ad Url Settings

 

api-lead-approach
the-amazon-lending-experience
executing-advanced-analytics-do-s-and-don-t
lending-transformation-old-vs-new
data-journey-building-strong-analytical-practices
4-step-iterative-process-building-a-relevant-analytics-practice
significant-measures-towards-new-normal
building-a-strong-analytics-practice-recipe-for-success
data-warehouse-evaluation-and-implementation
explainable-ai-trust-and-transparency
forecasting
top-50-members-using-transactional-website-jun-2020
top-50-cus-with-highest-and-lowest-efficiency-june-2020
importance-of-financial-risk-management
secret-sauce-for-long-term-sustainable-business-intelligence-succ
top-pfm-technologies
secret-sauce-for-long-term-sustainable-business-intelligence-succ
top-pfm-technologies
data-warehouse-and-bi-technologies-opportunities-challenges
top-chatbot-technologies
keys-to-building-an-effective-branch-or-atm-network
top-50-credit-unions-with-highest-and-lowest-accounts-per-member
lowest-and-highest-net-income-per-branch
marketing-holy-grail
top-50-most-and-least-delinquent-credit-unions
modern-marketing-technologies
incremental-low-cost-data-driven-wins
power-of-storytelling
the-cost-of-not-investing-in-data-governance
questions-you-should-ask-before-investing-in-data-warehouse
learnings-from-new-data-based-on-auto-loan-pricing
5-questions-you-need-to-ask-before-investing-in-data-governance
digital-marketing-maturity-models-for-credit-unions
marketing-expense-per-member
top-2-reasons-that-are-holding-credit-unions-back-when-they-are-i
using-data-analytics-to-manage-lending-complexity-while-driving-h
5-reasons-your-credit-union-should-invest-in-data-and-digital-now
top-50-most-and-least-efficient-credit-unions
retail-financial-services-outlook-during-covid-19
use-of-operational-analytics-to-mitigate-the-impact-of-covid-19
top-50-credit-unions-based-on-asset-size
cu-peer-comparison-dashboard
cu-peer-benchmark
all-about-machine-learning-engineering
top-web-design-trends
most-important-social-media-marketing-trends
state-of-digital-marketing-maturing-in-credit-unions
top-kpis-for-email-marketing
data-cloud-and-the-digital-transformation-imperative
digital-trinity-and-you
phases-of-financial-industry
analytics-roundtable-workshop
invitation-to-join-digital-transformation-hub
analytics-in-the-credit-union-business
value-of-member-centricity-and-analytics-in-the-growth-of-cus
all-about-membership-analytics
top-fraud-management-technologies
getting-started-with-your-data-analytics-journey
explore-vizualization-for-credit-unions
investment-in-website-personalization-technologies
data-analytics-supporting-cu-s-first-member-philosophy
loyalty-rewards-and-retention-technologies
member-experience-analytics
channel-analytics-and-its-importance
project-portfolio-management-technologies
investment-in-self-service-data-preparation-technologies
self-service-data-preparation-technologies
new-frontier-in-customer-experience-management
role-of-marketing-analytics-in-credit-unions
important-aspects-of-consumer-lending-analytics
kpis-on-website-analytics
journey-towards-bank-less-banking
investment-in-crm-technologies
top-omni-channel-vendors
conversational-banking-solutions
/top-kpis-for-chief-information-officer
mistakes-to-avoid-when-implementing-a-omnichannel-member
top-things-to-consider-when-building-dashboards
making-digital-marketing-more-agile-through-tag-managers
cecl-solution-providers
mistakes-to-avoid-while-implementing-marketing-automation
p2p-payment-integrated-solutions
kpis-for-social-media-tracking
kpis-for-human-resources-management
investment-in-fintechs-should-or-should-not
top-kpis-for-online-banking
investment-in-marketing-automation-technologies
investment-in-e-signature-technologies-should-or-should-not
tips-and-tricks-to-a-successful-bi-program
kpis-for-credit-card-business
kpis-for-digital-marketing
kpis-for-consumer-lending
hot-topics-for-credit-union-data-leaders
kpis-for-debt-collections
kpis-for-finance
website-personalization-tools
data-integration-technologies
robotic-process-automation-tools
why-data-analytics-initiatives-fail
electronic-signature-softwares
data-governance-tools-for-credit-unions
digital-and-mobile-banking-technologies
report-inconsistencies-are-frustrating
is-your-culture-ready-for-data-analytics
three-big-data-myths
turning-transaction-data-into-a-goldmine-a-becu-case-study
call-for-presentation-for-2019-credit-union-analytics-summit-is-n
top-10-keys-to-successful-data-analytics-practice
credit-union-chooses-accountscore-for-open-banking-transaction-da
how-much-do-you-spend-to-serve-a-customer
marketing-automation-technologies-for-credit-union
alexa-ask-first-abilene-fcu-for-my-balance
dataweb-content-management-technologies-for-credit-unions
efficiency-ratio
web-analytics-technologies
data-warehousing-software-for-banks
customer-experience-software
the-best-kept-secret-for-credit-union-data-analytics
mark-sievewright-on-technology-trends
naveen-jain-on-credit-union-analytics-summit-2018
why-analytics-doesn-t-make-a-difference-by-gary-angel
cuas2018-harnessing-the-right-data
build-a-financial-phone-assistant-for-your-credit-union-in-3-step
2018-culytics-analytics-challenge-winner
update-from-naveen
error-resolution
benefits-of-conversational-apps
who-are-your-most-valuable-members-part-1
how-alexa-can-help-your-credit-union
top-10-kpis-for-measuring-retail-channel-performance
how-much-is-too-much-personalization
top-10-kpis-for-measuring-contact-center-efficiency
pressure-on-margins-for-auto-loans-indirect-auto-loans-declining
best-business-intelligence-technologies-for-credit-unions
establishing-a-thriving-data-analytics-practice-is-a-journey
educational-presentations-from-the-2017-axfi-conference
modelling-alternatives-for-cecl-a-deep-future-analytics-study
data-analytics-use-cases-for-credit-unions-infographic
data-analytics-opportunities-in-credit-union-business
loan-application-analytics-with-cufx
machine-learning-delivers-great-consumer-experiences
deep-insights-of-credit-union-members-data-with-machine-learning
web-analytics-reporting-tips-for-credit-unions
big-data-strategy-roadmap-our-data-journey
webinar-framework-for-member-focused-decision-making
too-many-regulations-hurt-credit-union-members
digital-marketing-automation-solutions
online-banking-boom
transformation-transactions-to-relationships
top-dispute-management-technologies
2020-retail-trends
future-of-artificial-intelligence
2020-culytics-summit-attendee-dashboard
repositioning-the-role-of-marketing
marketing-automation-a-step-towards-marketing-transformation
strategic-agility
using-data-to-navigate-through-the-new-normal
digital-transformation-bcu
highest-and-lowest-new-loan-balances-per-branch-as-of-jun-2020
-new-members-ratio-as-of-june-2020
cus-with-highest-and-lowest-loan-grants-per-member-june-2020
self-service-data-preparation-technologies
highest-and-lowest-marketing-expense-per-member-june-2020
the-amazon-lending-experience
api-lead-approach
4-step-iterative-process-building-a-relevant-analytics-practice
data-journey-building-strong-analytical-practices
post-election-the-cu-outlook
most-and-least-delinquent-credit-unions-sept-2020
leveraging-ach-data-to-produce-real-outcomes
member-engagement-scores-benefits
member-engagement-key-to-serve-the-best
story-of-james-an-intelligence-transformation
executive-kpis-the-pulse-of-the-organization
untangling-member-journey
onboarding-strategy-to-deliver-success
the-importance-of-digital-technologies
top-interactive-financial-calculators
using-artificial-intelligence-to-improve-your-productivity
organizational-transformation-to-drive-growth
multi-year-journey-through-data-transformation
top-50-cus-with-the-highest-and-lowest-member-per-branch
digital-transformation-lessons-through-the-eyes-of-a-ceo
organizational-readiness-for-digital-transformation
ruthless-prioritization-to-do-more-to-learn-more-and-to-earn-more
performance-measures-for-digital-services
analytical-maturity-journey-towards-growth
less-is-more-the-necessity-of-focus-for-strategic-success
solving-the-crm-mrm-puzzle
insights-driven-messaging-member-and-product-onboarding
performance-measures-for-marketing
data-insights-that-drive-member-product-innovation
solving-the-crm-mrm-puzzle
the-agility-flywheel-a-strategy-that-never-goes-out-of-the-way
artificial-intelligence-as-a-playing-field-for-credit-unions
performance-measures-for-call-centers
top-automl-technologies
performance-measures-for-lending
building-business-case-for-data-analytics
driving-innovation-and-change
data-analyze-decide-and-create
digital-readiness-important-steps-to-achieve
digital-readiness-important-steps-to-achieve
enabling-credit-unions-with-ai
culytics-virtual-summit-2022-a-resounding-success
culytics-virtual-summit-2022-day-1
digital-banking-roundtable
digital-marketing-roundtable
transformative-lessons-from-a-chief-digital-officer
data-analytics-roundtable-mar-11
rewind-2022-culytics-day-key-highlights
data-analytics-team-roles
data-warehouse-development
data-analytics-team-size
is-your-data-analytics-program-not-delivering-results
active-deposit-management-for-profitable-growth
data-modeling
maximize-your-success-with-2023-CULytics-summit
biggest-opportunities-for-credit-unions
should-ceos-attend-the-culytics-summit
the-cost-of-a-wrong-decision
biggest-roadblocks-in-becoming-data-driven
a-journey-for-all-organizational-maturity-levels
maximize-your-data-analytics-checkup
navigating-the-data-analytics-landscape
improving-data-literacy
why-credit-union-leaders-should-invest-in-their-teams
why-credit-unions-should-not-invest-in-building-predictive-models
why-should-measure-the-success-of-data-analytics-program
cost-of-choosing-the-wrong-data-analytics-technology-stack
why-data-analytics-strategy-focus-on-supply-and-demand-side
kpis-to-measure-the-success-of-data-analytics-program
data-analytics-for-credit-union-branch-heads
data-organizing-principles
top-data-warehouse-storage-technologies
discover-the-hidden-truth-behind-watermelon-kpis
unveiling-the-hidden-dangers-of-cobra-effect-on-kpis
are-you-accurately-interpreting-your-kpi
unmasking-biases-a-guide-to-data-analysis-and-kpi-definition
uncover-the-power-of-proxy-kpis
unraveling-the-hidden-impact-of-sampling-bias-in-credit-unions
bi-department-structure
hidden-impact-of-confirmation-bias-in-credit-unions
getting-executive-attention-for-your-data-analytics-program
uncovering-biases-in-data-preprocessing
navigating-missing-data-in-credit-unions
navigating-sampling-bias-in-cu
unleash-the-power-of-real-time-data-use-cases
how-confirmation-bias-impacts-cus
breaking-down-selection-bias-in-credit-unions
unmasking-reporting-bias
elevate-your-cu-with-data-analytics-expertise
understanding-and-tackling-volunteer-bias-in-credit-unions
time-period-bias-in-credit-union
overcoming-biases-in-credit-unions
embracing-the-future-fast-future-fundamentals-program-equips-cred
unlock-growth-and-efficiency-credit-unions-guide-to-generative-ai
how-better-data-and-behavioral-biometrics-can-help-credit-unions-
harnessing-the-power-of-data-in-credit-unions
leveraging-third-party-data-a-strategic-guide-for-credit-unions
unlocking-member-insights-how-cus-can-leverage-third-party-data
enhancing-customer-experience-through-third-party-data
third-party-data-integration-techniques-and-technologies
the-future-of-lending-third-party-data-role-in-credit-decisioning
how-third-party-information-shapes-cu-strategies
using-data-to-improve-access-to-credit-for-low-income-members
designing-financial-products-for-low-income-members-using-data
measuring-and-enhancing-the-impact-of-support-programs
data-governance-why-selling-internally-is-important
selling-data-governance-in-your-credit-union
building-a-business-case-and-engaging-stakeholders
creating-a-data-governance-roadmap-and-executing-it
measuring-and-demonstrating-the-impact-of-data-governance
sustaining-momentum-keeping-data-governance-a-priority
overcoming-challenges-in-transaction-data-analysis-credit-unions
empowering-members-through-transaction-data
how-credit-unions-leverage-transaction-data-best-practices
unlocking-financial-independence-the-power-of-transaction-data
the-power-of-transaction-data-enrichment
avoid-financial-reputation-and-member-trust-issues
introduction-to-model-risk-management
week-1-mrm-a-practitioner-s-approach
week-2-guide-to-identifying-and-maintaining-models
survey-insights-navigating-mrm-in-credit-unions
week-3-application-of-mrm-insights-to-sound-model-development-eff
unlocking-the-secrets-to-attracting-gen-y-and-z
creating-a-seamless-member-experience-for-gen-y-and-gen-z
data-analytics-maturity-assessment-report
marketing-to-gen-y-and-z-strategies-that-work-for-credit-unions
the-imperative-of-engaging-millennials-and-gen-z
cu-build-lasting-relationships-with-gen-z-financial-literacy
how-social-responsibility-drives-gen-z-membership
loyalty-programs-that-work-keeping-gen-y-and-z-members-engaged
insights-on-engaging-millennials-and-gen-z-at-credit-union
ai-driven-member-experience
streamlining-operations-with-ai
innovation-and-member-inclusion-in-ai-credit-risk-models
ai-risk-management-enhancing-fraud-detection-and-cybersecurity
how-ai-is-transforming-data-analytics-for-credit-union
overcoming-ai-adoption-challenges-in-credit-unions
the-state-of-ai-in-credit-unions-survey-insights
creating-a-culture-of-innovation
building-the-foundation
closing-the-talent-gap